Lead Specialist Quality Assurance

3205 St. Jude Medical, Cardiology Division, I; Los Angeles (CA); On-site; USD 100,000 - 200,000; Full time

Benefits offered by this job

Training and career development

401(k) retirement savings with a match

Health care and well-being programs

Paid time off

Tuition assistance

Job summary

Abbott in Sylmar, CA is seeking a Quality Assurance Lead Specialist to conduct advanced quality data analytics, investigate issues, and ensure compliance with FDA 21 CFR Part 820 and ISO 13485. This onsite role partners with Quality, Operations, Engineering, Regulatory Affairs and Supply Chain.

You will develop dashboards, apply machine learning and predictive analytics, mentor analysts, and translate data insights into actionable improvements across Cardiac Rhythm Management manufacturing and

Qualifications

• Bachelor's degree in life sciences or engineering or an equivalent combination of education and work experience.
• 4+ years of experience applying data analytics in regulated industries such as Medical Devices, Pharmaceuticals, Biotechnology, or Healthcare.
• Proficiency in Python, R, SQL, SAS, or similar analytical languages.
• Experience with machine learning, predictive analytics, anomaly detection, and pattern recognition.

Responsibilities

• Execute advanced quality data analytics and investigations with minimal supervision.
• Lead cross-functional data-driven initiatives for quality improvement, risk reduction, and regulatory compliance.
• Analyze large datasets from CAPA, Complaints, Nonconformances, Supplier Quality, Manufacturing, and Post-Market Surveillance to identify trends and root causes.
• Develop innovative analytical solutions to address quality and operational challenges.
• Apply statistical methods, ML models, and predictive analytics to support decision-making.
• Design, develop, and maintain dashboards and automated quality performance reports.
• Mentor analysts and ensure data governance and validation in regulated environments.
• Collaborate with Quality, Operations, Engineering, Regulatory Affairs, Clinical, and Supply Chain teams.

Skills

Data analytics

Statistical modeling

Machine learning

Data governance

Education

Bachelor’s degree in life sciences or engineering

Data Science / Statistics related preferred

Tools

Python

R

SQL

SAS

Power BI

Job description

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 122,000 colleagues serve people in more than 160 countries. JOB DESCRIPTION: A healthy heart is essential to good health. That's why we're committed to advancing treatments for people with cardiovascular disease. As a global leader in Cardiac Rhythm Technologies, our breakthrough medical technologies help restore people's health so they can get back to living their best lives, faster. We focus on innovative technologies that can improve the way doctors treat people with heart arrhythmias, or irregular heartbeats.

MAIN PURPOSE OF THIS ROLE

We are seeking a highly qualified Quality Assurance Lead Specialist in Sylmar, CA to conduct quality-related activities to deliver consistent, high quality documents, services, products and processes. Ensure compliance with world wide regulatory expectations/requirements. This is an ONSITE role.

WHAT YOU’LL DO

• Responsible for independently executing advanced quality data analytics and investigation activities with minimal management oversight.
• Lead cross-functional data-driven initiatives focused on quality improvement, risk reduction, process optimization, and regulatory compliance.
• Analyze large and complex datasets from CAPA, Complaints, Nonconformances, Supplier Quality, Manufacturing, and Post-Market Surveillance systems to identify trends, signals, and root causes.
• Develop innovative, practical, and compliant analytical solutions to address complex quality and operational challenges.
• Apply statistical methods, machine learning models, and predictive analytics to proactively detect emerging quality issues and support decision-making.
• Design, develop, and maintain dashboards, automated reports, and quality performance metrics to provide actionable insights across the organization.
• Demonstrate expertise in data science, statistical analysis, and quality systems while continuously expanding technical and leadership competencies.
• Identify opportunities for continuous improvement through data-driven analysis and recommend sustainable solutions.
• May provide technical guidance and mentorship to analysts, quality professionals, data scientists, and contractors.
• Maintain specialized expertise in Quality Analytics while leveraging knowledge of manufacturing, regulatory, engineering, and business processes.
• Collaborate closely with Quality, Operations, Engineering, Regulatory Affairs, Clinical, and Supply Chain teams to solve complex business problems.
• Represent the Data Science and Quality Analytics function on cross-functional projects and strategic initiatives.
• Implement tactical and strategic analytics activities to support quality objectives and business priorities.
• Contribute advanced statistical and data science expertise broadly across business functions.
• Directly influence project direction, investigation strategies, analytical methodologies, and quality risk management decisions through evidence-based insights.
• Support regulatory inspections, management reviews, CAPA effectiveness assessments, and quality system monitoring through robust data analysis and visualization.
• Ensure data integrity, governance, and compliance with applicable requirements including FDA 21 CFR Part 820, ISO 13485, and internal quality management system standards.

QUALIFICATIONS

• Education Bachelors Degree (± 16 years) In life sciences or engineering or an equivalent combination of education and work experience.
• Preferred degree in Data Science, Statistics, Biostatistics, Computer Science, Engineering, Mathematics, Quality Engineering, or a related quantitative field.
• Experience/Background Minimum 4 years of experience applying data analytics, statistical modeling, and data science techniques in a regulated industry such as Medical Devices, Pharmaceuticals, Biotechnology, or Healthcare.
• Strong proficiency in Python, R, SQL, SAS, or similar analytical programming languages.
• Experience with machine learning, predictive analytics, anomaly detection, and pattern recognition methodologies.
• Advanced knowledge of statistical analysis techniques including hypothesis testing, regression analysis, multivariate analysis, survival analysis, DOE (Design of Experiments), SPC (Statistical Process Control), and time-series analysis.
• Experience working with large and complex datasets from Manufacturing, Quality Systems, Complaints, CAPA, Nonconformance, Supplier Quality, and Post-Market Surveillance systems.
• Proficiency with data visualization and business intelligence tools such as Power BI, Infinity QS.
• Experience developing interactive dashboards, automated reporting solutions, and executive-level data presentations.
• Strong understanding of data governance, data integrity, and validation principles in regulated environments.
• Demonstrated capability to translate complex analytical findings into actionable business recommendations.

WHAT WE OFFER

• Training and career development, with onboarding programs for new employees and tuition assistance
• Financial security through competitive compensation, incentives and retirement plans
• Health care and well-being programs including medical, dental, vision, wellness and occupational health programs
• Paid time off
• 401(k) retirement savings with a generous company match
• The stability of a company with a record of strong financial performance and history of being actively involved in local communities
• Learn more about our benefits that add real value to your life to help you live fully: www.abbottbenefits.com
• Follow your career aspirations to Abbott for diverse opportunities with a company that provides the growth and strength to build your future.

The base pay for this position is $100,000.00 - $200,000.00

In specific locations, the pay range may vary from the range posted.

JOB DETAILS

• Job Family: Operations Quality
• DIVISION: CRM Cardiac Rhythm Management
• LOCATION: United States > Sylmar : 15900 Valley View Court
• ADDITIONAL LOCATIONS:
• WORK SHIFT: Standard
• TRAVEL: Yes, 5 % of the Time
• MEDICAL SURVEILLANCE: Not Applicable
• SIGNIFICANT WORK ACTIVITIES: Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day), Keyboard use (greater or equal to 50% of the workday)

Abbott is an Equal Opportunity Employer, committed to employee diversity.

Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans.

EEO is the Law link - English: http://webstorage.abbott.com/common/External/EEO_English.pdf

EEO is the Law link - Espanol: http://webstorage.abbott.com/common/External/EEO_Spanish.pdf

Abbott is about the power of health. For more than 135 years, Abbott has been helping people reach their potential - because better health allows people and communities to achieve more. With a diverse, global network serving customers in more than 160 countries, we create new solutions - across the spectrum of health, around the world, for all stages of life. Whether it’s next-generation diagnostics, life-changing devices, science-based nutrition, or novel reformulations, we are advancing some of the most innovative and revolutionary technologies in healthcare, helping people live their best lives through better health.

The people of Abbott come to work each day with relentless energy, enthusiasm and a promise to enhance the health and well-being of millions of people. They push the boundaries to help manage and treat some of life’s greatest health challenges.

We invite you to explore opportunities at Abbott, to see if your talents and career aspirations may fit with our openings. An equal opportunity employer, Abbott welcomes and encourages diversity in our workforce.

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